Address

Contact Information

Email: albertusalvin DOT work AT gmail DOT com

Albertus Alvin Janitra

Internship Student

2022

Biography

Albertus Alvin Janitra is a third-year undergraduate student in Bachelor of Advanced Computing majoring in Computer Science and Data Science from University of Sydney. Albertus used to compete and gain some awards in National and International Math Competitions as well as some local competitive programming competitions. He also have some experiences teaching math and competitive programming in his spare time. In addition, he likes to create some creative personal programming projects that are shared to social medias such as Reddit, Youtube, Github, etc. Albertus is interested in Data Science, math related field, robotics, and software development.

Project Title:

Situation-Aware Drone Delivery in a Multi-Drone Skyway Network

Project Description :

Drones are a new type of IoT devices that offer cost-effective and fast delivery services. The potential utilization of drones is limited by payload capacity and battery consumption constraints. Drones may need multiple times of recharge for persistent delivery operation. The drone delivery environment is highly constrained because the availability of recharging stations is not guaranteed. We leverage the service paradigm to address the key challenges in delivery by drones. The functional and non-functional properties of drones are abstracted as Drone-as-a-Service (DaaS). The drone services operate in a skyway network which is constructed by linking the skyway segments. Each skyway segment connects two nodes which are the rooftops of the high-rise buildings. Each node is assumed to be a recharging station or a delivery target. Given a source and a destination, the objective of this project is to collect a trajectory dataset considering the battery limitations and availability of pads on recharging stations. The dataset will be used for predicting the optimal travel times under different wind conditions in a multi-drone network and help in computing the best skyway segments leading to the destination.